Research library
🧬 The Felid Wiki — 3,000 research summaries
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12 summaries matching “multiple” in Camera-Trap Methods
Estimating puma densities from camera trapping across three study sites: Bolivia, Argentina, Belize
PaperKelly and colleagues estimated puma densities at multiple Latin American sites using camera-trap capture-recapture, confronting the challenge that pumas, unlike jaguars, have relatively uniform coats…
Marcella J. Kelly, Andrew J. Noss, Marcelo S. Di Bitetti, Leonardo Maffei, Rosario L. Arispe, et al. · Journal of Mammalogy · 2008
Estimation of tiger densities in India using photographic captures and recaptures
PaperKaranth and Nichols extended camera-trap capture-recapture into a full density-estimation framework applied across multiple Indian reserves. They combined closed-population abundance estimates from ph…
K. Ullas Karanth, James D. Nichols · Ecology · 1998
How does spatial study design influence density estimates from spatial capture-recapture models?
PaperSollmann, Gardner, and Belant used simulation to investigate how the configuration of camera arrays affects the accuracy and precision of spatially explicit capture-recapture density estimates. They v…
Rahel Sollmann, Beth Gardner, Jerrold L. Belant · PLOS ONE · 2012
Research overview: DSLR camera-trap photography for fine-art wildlife imagery
OverviewBeyond scientific monitoring, dedicated wildlife photographers build custom DSLR camera-trap rigs to capture high-resolution, artfully lit images of elusive cats in their natural environment. This ove…
Research overview: N-mixture models for unmarked populations
OverviewN-mixture models estimate abundance from repeated counts of unmarked animals at multiple sites by separating true abundance from imperfect detection, assuming counts arise from a binomial sampling of…
Research overview: Zooniverse crowdsourced classification of camera images
OverviewZooniverse hosts citizen-science projects, such as Snapshot Serengeti and its successors, where volunteers worldwide classify camera-trap images, collectively processing millions of photos that would…
Research overview: citizen-science data quality and volunteer engagement
OverviewCitizen science underpins much large-scale camera-trap work, from running cameras to classifying images, but harnessing volunteers reliably requires attention to data quality and sustained engagement.…
Research overview: false-positive detections in occupancy modeling
OverviewStandard occupancy models assume that detections are never mistaken, but in practice species can be misidentified, a particular risk when automated classifiers or volunteers confuse similar-looking ca…
Research overview: spatial and temporal avoidance among sympatric felids
OverviewWhere multiple cat species coexist, smaller felids often adjust their use of space and time to avoid larger, dominant competitors, and camera-trap data are a primary means of detecting these interacti…
Research overview: the TEAM Network and tropical camera-trap monitoring
OverviewThe Tropical Ecology Assessment and Monitoring (TEAM) Network pioneered standardized, long-term camera-trap monitoring of terrestrial mammals and birds across multiple tropical forest sites worldwide.…
Tigers need cover: multi-scale occupancy study of the big cat in Sumatran forest and plantation landscapes
PaperSunarto and colleagues used multi-scale occupancy modeling, informed by camera-trap and field detections, to investigate how Sumatran tigers respond to forest cover and human-modified landscapes inclu…
Sunarto, Marcella J. Kelly, Karmila Parakkasi, Sybille Klenzendorf, Erin Septayuda, Harry Kurniawan · PLOS ONE · 2012
Trap configuration and spacing influences parameter estimates in spatial capture-recapture models
PaperSun, Fuller, and Royle examined through simulation how detector spacing and array geometry affect bias and precision in spatially explicit capture-recapture estimates. They demonstrated that when dete…
Catherine C. Sun, Angela K. Fuller, J. Andrew Royle · PLOS ONE · 2014